Prof. Liz BaconUniversity of Greenwich, UK
Professor Liz Bacon BSc, PhD, CEng, CSci, CITP, FBCS, PFHEA, MACM is a Deputy Pro-Vice-Chancellor at the University of Greenwich in London, with a University wide remit leading the development of technology enhanced learning and pedagogic research. She was President of BCS, The Chartered Institute for IT, in the year 14-15 and is a past Chair of the BCS Academy of Computing, and the CPHC (Council of Professors and Heads of Computing) national committee. Liz is a Professor of Software Engineering with over a hundred publications and a Co-Director of the eCentre research group. She has been involved in several EU research projects, including being Principal Investigator and Project Coordinator for two EU FP7 projects in the recent past. She is an experienced systems designer and developer and her research interests include computing policy, smart systems, security and technology enhanced learning (TEL). Within TEL, she has applied her research in software engineering, artificial intelligence and security to a range of application areas such as crisis management and eHealth, focusing on: smart games-based learning environments; metacognition and learning strategies; adaptable, adaptive and personalised systems; and the use of social media in online learning, all supported by cloud technology. She also researches, publishes, and is a regular international speaker, on the supply and demand of e-skills to the IT industry. Liz is passionate about the development of her discipline and keen to inspire more people to choose computing as a career, particularly women.
Prof. Luiz MoutinhoUniversity of Suffolk, England
Professor Luiz Moutinho (BA, MA, PhD, FCIM) is Visiting Professor of Marketing at Suffolk Business School, Faculty of Arts, Business and Applied Social Science, University of Suffolk, Ipswich, England, Adjunct Professor of Marketing at Graduate School of Business, University of the South Pacific, Suva, Fiji, and Visiting Professor of Marketing at Universidade Europeia and the Marketing School, Portugal.
During 2015 - 2017 he was professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland. In 2017 Luiz Moutinho received a degree of Professor Honoris Causa from the University of Tourism and Management Skopje, FYR of Macedonia.
He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 29 years and held posts at Cardiff Business School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia and Cyprus.
Between 1987 and 1989 he was the Director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the Cardiff Business School between 1993 and 1996. He was Director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004.
Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and co-editor of the Innovative Marketing Journal. He has another 4 Associate Editorships as well as being in the Editorial Boards of another 47 international academic journals.
His areas of research interest encompass bio-marketing, neuroscience in marketing, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling consumer behaviour, futures research, marketing futurecast and tourism and marketing. Other primary areas of Professor Moutinho’s academic research are related to modelling processes of consumer behaviour. Currently, he is Program Designer and Faculty Member at Neuroscience Ltd. (Neuroscience - Academic and Business Solutions).
He has developed a number of conceptual models over the years in areas such as tourism destination decision processes, automated banking, supermarket patronage, among other areas. The testing of these research models has been based on the application of many different statistical, computer and mathematical modelling techniques ranging from multidimensional scaling, multinomial logit generalised linear models (GLMs) and linear structural relations to neural networks, ordered probit, simulated annealing, tabu search, genetic algorithms, memetic algorithms and fuzzy logic.
Professor Moutinho has over 150 articles published in refereed academic journals, 32 books and more than 10,800 academic citations, a h-index of 49 and an i10-index of 156 (by the end of 2017).
Sensing the Future - The Intertwining of Big
Data and the Future of Universities
Abstract: The presentation starts by reflecting on the Big Data Society and the future data tsunami. Data marketplaces, relevance and insights are concepts tackled then. Machine, deep and self-learning are then covered. The new concepts of data lakes, data agility, data craft, body data and data philanthropy are also presented. Going on then to discuss the disruption in academia, many considerations will be made about the university of the future. Scenarios involving the concepts of the satellite university and university brainchip will be dissected as well as the non-linear education paths encountered in the horizon. Alternative credentials and nanodegrees are also introduced. The latter part of the presentation will deal with the impact of technology shaping the university of the future… virtual education, eye tracking, holographic teaching and robotics in the classroom.
Prof. Joy Kutaka-KennedyNational University, USA
Before entering higher education Dr. Joy Kutaka-Kennedy spent over twenty years teaching students from pre-school through high school in regular education, gifted education, at-risk education, and special education. She has taught over fifteen years at the university level emphasizing special education teacher preparation in academic course work and clinical practice supervision. Early in her career she won two competitive federal grants totaling almost $2M for teacher preparation in special education. Having extensive experience with online education, course development and program evaluation, she won Quality Matters recognition for innovative course design and student engagement. She has given numerous national and international presentations on creativity and collaboration in the online venue; individual accountability in online group work; emerging technological trends in higher education; and implications of generational differences and technological innovation in higher education. Currently Dr. Kutaka-Kennedy is examining the use of virtual and augmented reality in education along with the implications of the rapidly evolving future of artificial intelligence, machine learning and deep learning. She participates in a consortium led by the University of Kansas to research differences in perception of online visual elements among culturally diverse groups. Her faculty responsibilities include course design and oversight, field work supervision, and mentoring new faculty in higher education. Dr. Joy Kutaka-Kennedy serves as an officer of the California Association of Professors of Special Education, mentors prospective grant writers, completes program reviews for state and national accreditation, and performs editorial reviews for professional publications. She currently is working on designing new programs and curricula to align with new state credentialing standards.
Dr. Peter TongConcordia International School Shanghai, China
Peter pioneered the Big Data Analytics program for K-12 education where neither curriculum nor standards exist. His passion in data analytics is evident in his teachings and research work. He shares his data analytics passion with his students by supervising practical data analytics projects in his Big Data Analytics course. Both his and his students' work have been presented regularly at several international big data analytics conferences. Peter began his career as an aerospace engineer in the preliminary design of a supersonic Mach 2+ Unmanned Aerial Vehicle (UAV) for the Department of National Defence, Canada. He later found his calling to be a teacher. With a background in Electrical Engr. (B.Sc.), Mechanical Engr. (M.Sc.), Aerospace Engr. (Ph.D.) and Dip. Ed. Peter readily integrates practical real life engineering experience into the classroom. He also developed an Aerospace Engineering course for high school. He is a member of the program committee for the International Big Data and Analytics Educational Conference, Watson Analytics Global Academics Network (WAGAN) and is on the Ad-Hoc IBM Academic Advisory Board. He has taught in Australia, Canada, Indonesia, Malaysia, Singapore and is currently teaching in China.